question stringlengths 17 322 | question_type stringclasses 13
values | audio_type stringclasses 3
values | reasoning_steps listlengths 0 20 | answer stringlengths 0 220 | options listlengths 4 4 | correct_option stringclasses 4
values | video stringlengths 18 20 | video_type stringclasses 8
values | duration stringlengths 5 5 |
|---|---|---|---|---|---|---|---|---|---|
When I say 'Right now, we're doing pretty good', what color is the car in front of me? | ego reasoning | Speech | [
{
"evidence": "At 2:47, the man said 'Right now, we're doing pretty good'.",
"inference": "Get the point they talked about.",
"modality": "audio"
},
{
"evidence": "there is a red car in front of me.",
"inference": "Red.",
"modality": "vision"
}
] | Red. | [
"A. Black.",
"B. White.",
"C. Grey.",
"D. Red."
] | D | videos/video_237.mp4 | Ego | 08:30 |
What might a driver's mood be like while driving? | sentiment analysis | Speech | [
{
"evidence": "At 1:12, the driver was operating the vehicle.",
"inference": "Pay attention to his mood.",
"modality": "vision"
},
{
"evidence": "The sound of a car accelerating and speeding by can be heard throughout the background audio from 1:34.",
"inference": "The driver was likely eage... | Impatient | [
"A. Excited",
"B. Angry",
"C. Tense",
"D. Impatient"
] | D | videos/video_238.mp4 | Ego | 08:59 |
After the background audio says 'Okey?', what characteristics does the second participant have compared with the first participant? | attribute comparison | Sound | [
{
"evidence": "At 0:34, the background voice says 'Okey?'",
"inference": "This marks the time referenced by the question.",
"modality": "audio"
},
{
"evidence": "at 0:44, the man is the first participant.",
"inference": "he has no expression.",
"modality": "vision"
},
{
"evidence... | More excited | [
"A. More nervous.",
"B. More afraid.",
"C. More shy.",
"D. More excited"
] | D | videos/video_239.mp4 | Vlog | 06:29 |
How many segments of guide lines were there when he mentioned that David had to be in the contrapposto position? (Connected lines count as one segment.) | counting | Speech | [
{
"evidence": "At 4:02, it is mentioned that David had to be in the contrapposto position.",
"inference": "Get the point they talked about.",
"modality": "audio"
},
{
"evidence": "there are a total of 5 guide line segments visible on the screen.",
"inference": "5",
"modality": "vision"
... | 5 | [
"A.5",
"B.7",
"C.8",
"D.11"
] | A | videos/video_240.mp4 | Documentary | 14:15 |
How many people were sitting when Dazhuang asked his third uncle and third aunt to send a message to his father? | counting | Speech | [
{
"evidence": "At 13:03, Dazhuang asks third uncle and third aunt to send a message to his father.",
"inference": "It is the time mentioned in the question.",
"modality": "audio"
},
{
"evidence": "Dazhuang's third uncle is sitting.",
"inference": "There is 1 person sitting.",
"modality":... | 1 | [
"A.0",
"B.1",
"C.2",
"D.3"
] | B | videos/video_241.mp4 | Arts&TV Show | 13:40 |
What was the man's tone of voice before and after the woman took advice from other women? | attribute comparison | Speech | [
{
"evidence": "At 07:44, the other woman gave the woman an advice to be the friends of the man they looked at.",
"inference": "Pay attention to the woman's reaction to the advice.",
"modality": "vision"
},
{
"evidence": "At 07:46, the woman said:' Right, thank you, that's what I goona do.'",
... | More sarcastic than before | [
"A. More steady than before",
"B. More objective than before",
"C. More sarcastic than before",
"D. More innocent than before"
] | C | videos/video_242.mp4 | Arts&TV Show | 10:45 |
What colors appear in the dress worn by the model in the scene of the woman discussing Thai bag dress? | fine-grained perception | Speech | [
{
"evidence": "The woman talked about 'Bareback Thai bag dress' at 5:15 in the video.",
"inference": "The question is asking for colors of dresses appear after 5:15.",
"modality": "audio"
},
{
"evidence": "At 6:10, the woman started to talk about another type of clothing.",
"inference": "The... | White, Red, Black | [
"A.White, Green, Red",
"B.Brown, Green, Red",
"C.Brown, Purple, Black",
"D.White, Red, Black"
] | D | videos/video_243.mp4 | Vlog | 13:02 |
Which of the newlyweds thinks is more likely to wake up in a bad mood? | sentiment analysis | Sound | [
{
"evidence": "the host asked the question at 2:20",
"inference": null,
"modality": "audio"
},
{
"evidence": "at this point, they all lifted each other's shoes.",
"inference": null,
"modality": "vision"
}
] | Both believe that the other is. | [
"A. Both believe that the bride is.",
"B. Both believe that the groom is.",
"C. Both believe that the other is.",
"D. Both believe that they are."
] | C | videos/video_243.mp4 | Vlog | 13:02 |
In the game of 'a one minute is in' planned by the host, how many rounds did team A win? | counting | Sound | [
{
"evidence": "The name of the game 'a one minute is in' was mentioned by the host at 2:46.",
"inference": "The game starts.",
"modality": "audio"
},
{
"evidence": "At 3:18, team A wins.",
"inference": "Team A wins 1 round.",
"modality": "vision"
},
{
"evidence": "At 3:34, team A... | 3 | [
"A.1",
"B.2",
"C.3",
"D.4"
] | C | videos/video_244.mp4 | Others | 13:15 |
How much does it cost to purchase the small brown bottle in the picture and crystal nail file from this package separately? | reference reasoning | Speech | [
{
"evidence": "At timestamp 0:11, the small brown bottle has a label with 'daily moisture' on it",
"inference": "The small brown bottle is daily moisture.",
"modality": "vision"
},
{
"evidence": "At the 0:50, the host said 'these two alone are 60 dollars'.",
"inference": "This is likely the ... | $38 | [
"A. $30.",
"B. $20",
"C. $18",
"D. $38"
] | D | videos/video_244.mp4 | Others | 13:15 |
How long is the track of the match? | counting | Speech | [
{
"evidence": "At 0:10, the man said this is a 200-Yard Medley Relay.",
"inference": "Get the point they talked about.",
"modality": "audio"
},
{
"evidence": "In this relay, there are four swimmers in a team.",
"inference": "In this relay, four swimmers swim 50-yard long.",
"modality": "... | 25-yard | [
"A.200-yard",
"B.100-yard",
"C.50-yard",
"D.25-yard"
] | D | videos/video_245.mp4 | Sports | 11:03 |
How did the man's tone change when discussing early 3D animations? | sentiment analysis | Speech | [] | The tone became excited. | [
"A.The tone became angry.",
"B.The tone became excited.",
"C.The tone became sad.",
"D.The tone became awkward."
] | B | videos/video_246.mp4 | Vlog | 14:51 |
What kind of ideal model did the teacher mention as an example? | reference reasoning | Speech | [
{
"evidence": "There exists 'ideal model' in Chinese writing on the screen.",
"inference": "The teacher is talking about ideal model.",
"modality": "vision"
},
{
"evidence": "The teacher takes the ideal voltmeter as an example of ideal model.",
"inference": "The answer is ideal voltmeter.",... | Ideal Voltmeter | [
"A.Ideal Voltmeter",
"B.Rigid Body",
"C.Ideal Gas",
"D.Point Charge"
] | A | videos/video_246.mp4 | Vlog | 14:51 |
After giving the example of 'studying the gender of squirrels,' what example did the teacher give next? | temporal understanding | Speech | [
{
"evidence": "At 8:08, the teacher talked about 'studying the gender of squirrels'.",
"inference": "The question is asking for what example did the teacher give right after this timestamp.",
"modality": "audio"
},
{
"evidence": "At 9:00, the teacher talked about 'studying of the Earth's rotatio... | Studying of the Earth's rotation | [
"A.Studying the migration patterns of squirrels",
"B.Studying the Earth's orbit",
"C.Studying the trajectory of trains crossing bridges",
"D.Studying of the Earth's rotation"
] | D | videos/video_246.mp4 | Vlog | 14:51 |
How many distinct scenarios are presented as examples to illustrate the concept of a mass point? | counting | Speech | [
{
"evidence": "At 3:52, the video shows the title: a mass point.",
"inference": "What follows could be the examples of it.",
"modality": "vision"
},
{
"evidence": "At 6:23 person said, 'Now, I'll give three examples.'",
"inference": "It seems like it's going to have 3 examples.",
"modali... | 6 | [
"A. 3",
"B. 4",
"C. 5",
"D. 6"
] | D | videos/video_246.mp4 | Vlog | 14:51 |
What inspirations after 'Uzumaki' ? | temporal understanding | Speech | [
{
"evidence": "At 3:53, 'Uzumaki' appears in the video.",
"inference": "Mark the point about the question.",
"modality": "vision"
},
{
"evidence": "At 6:58, the background sound says that Junji Ito's best ideas come from everyday observations: greasy futons, travel stories.",
"inference": "T... | Greasy futons + travel stories | [
"A. Greasy futons + travel stories",
"B. Rain of corpses + ghost haunting",
"C. Ghostly flash flood + sharks on land ",
"D. Woman with a dissection kink + people begging to be swept up"
] | A | videos/video_247.mp4 | Cartoon | 11:20 |
Which of the following is the correct order of the stories or books introduced by the author? | temporal understanding | Speech | [
{
"evidence": "From vision at 01:24, we see imagery of a greasy futon, which is supported by the audio narration describing a greasy travel story.",
"inference": "'Greasy futons travel stories' is first.",
"modality": "vision"
},
{
"evidence": "The visual evidence at 07:16 shows giant hanging he... | Greasy futons travel stories, hanging glimp, people turned into marionettes, earth eat children | [
"A. Samshed, Gyo, Shiver, ",
"B. Woman immortalized by Golden statue, rain of corpses, ghost haunting of a woman, human souls springing up into scarecrows ",
"C. Greasy futons travel stories, hanging glimp, people turned into marionettes, earth eat children",
"D. The allure of a ghostly flash food mystery, s... | C | videos/video_247.mp4 | Cartoon | 11:20 |
After the protagonist mentions his favorite story, which of the following is the correct order of the subsequent stories mentioned? | temporal understanding | Speech | [
{
"evidence": "The sequence starts after the protagonist names his favorite story. The narrator's audio at confirms this by stating, 'My personal favorite... is called The Long Dream.'",
"inference": "This is the begin of the subsequent stories.",
"modality": "audio"
},
{
"evidence": "'Uzumaki' ... | Uzumaki, Greasy futons travel stories, hanging glimp, people turned into marionettes, earth eat children | [
"A. Samshed, Shiver, Gyo",
"B. Uzumaki, Greasy futons travel stories, hanging glimp, people turned into marionettes, earth eat children",
"C. Woman immortalized by Golden statue, rain of corpses, ghost haunting of a woman, human souls springing up into scarecrows ",
"D. The allure of a ghostly flash food my... | B | videos/video_247.mp4 | Cartoon | 11:20 |
Compare the manifestations of the protagonist's subtle thoughts in different time periods? | attribute comparison | Sound | [
{
"evidence": "The visual editing rapidly accelerates from (from vision), using quick flashes and a fast zoom to rush the reveal of the book inside the box.",
"inference": "The protagonist can no longer wait.",
"modality": "vision"
},
{
"evidence": "For the fourth time, the voice is the most urg... | For the fourth time, the voice is urgent, showing that the protagonist can no longer wait. | [
"A. For the first time, the voice is gentle, introducing the audience's second interest line.",
"B. For the second time, the voice is relaxed, continuing to tease the audience's second interest line.",
"C. For the third time, the voice stops abruptly, representing the protagonist's malicious intentions.",
"D.... | D | videos/video_247.mp4 | Cartoon | 11:20 |
What is the other person's tone like after achieving victory? | sentiment analysis | Speech | [
{
"evidence": "At 10:32, the woman said 'we did it, the ranking is saved, we got the bonus.",
"inference": "they achieve victory.",
"modality": "audio"
},
{
"evidence": "they danced for it.",
"inference": "they are very happy.",
"modality": "vision"
},
{
"evidence": "they both sh... | an excited tone | [
"A. an indifferent tone",
"B. a flustered tone",
"C. a cherished tone",
"D. an excited tone"
] | D | videos/video_248.mp4 | Cartoon | 11:03 |
What was the man's tone like regarding the change in fishing catch? | sentiment analysis | Speech | [
{
"evidence": "At 6:52, the man picks up a horn and blows it.",
"inference": "This indicates that he is very excited.",
"modality": "vision"
},
{
"evidence": "At 6:43, the man says: And a landmarked decision called The Boldt Decision. The judge upheld Treaty Rights and ruled that Native nations ... | a rhetorical tone | [
"A.an excited tone",
"B.a disgusted tone",
"C.a rhetorical tone",
"D.an affirmative tone "
] | C | videos/video_249.mp4 | Documentary | 10:56 |
Which of the following is the correct order of the examples introducing food sovereignty? | temporal understanding | Speech | [
{
"evidence": "The video first introduces the Mongol Food Sovereignty Project, mentioning harvest festivals and community gardens.",
"inference": "This is the initial example in the sequence, corresponding to 'hosts harvest festivals' among the options.",
"modality": "vision"
},
{
"evidence": "N... | hosts harvest festivals, the Cherokee nation, the three sisters project , the knowledge impartation by local chefs | [
"A.hosts harvest festivals, the knowledge impartation by local chefs, the Cherokee nation the three sisters project",
"B.the Cherokee nation, hosts harvest festivals, the knowledge impartation by local chefs, the three sisters project",
"C.hosts harvest festivals, the Cherokee nation, the three sisters project... | C | videos/video_249.mp4 | Documentary | 10:56 |
The protagonist in the video was arrested, revealed what contradiction? | reference reasoning | Speech | [
{
"evidence": "The narration states the state’s official goal was salmon conservation.,",
"inference": "Establishes the government’s stated reason for actions (salmon protection), setting a baseline for comparison.",
"modality": "audio"
},
{
"evidence": "Audio content reveals the real cause of s... | Blaming a minority group for damage caused by industry | [
"A.The legal conflict between federal treaties and state law.",
"B.Blaming a minority group for damage caused by industry",
"C.The economic clash between subsistence and commercial fishing.",
"D.The government's dilemma of balancing resources versus rights."
] | B | videos/video_249.mp4 | Documentary | 10:56 |
Why the girls talks about '310' in Shanghai? | causal reasoning | Speech | [
{
"evidence": "At 10:25, the boys talk about the importance of '310' in Shanghai.",
"inference": "The girls only date those whose ID card numbers start with 310.",
"modality": "vision"
},
{
"evidence": "At 10:00, the speaker said the people who have '310' means they are locals.",
"inference"... | Because they want to marry with local people. | [
"A.Because they want to marry with local people.",
"B.Because it symbolizes luck in Shanghai local culture.",
"C.Because they believe that those whose ID card numbers start with 310 are more noble.",
"D.Because they only want to make friends with people those whose ID card numbers start with 310."
] | A | videos/video_250.mp4 | Documentary | 12:46 |
What's Adam's weakness in the video? | sentiment analysis | Speech | [
{
"evidence": "At 1:25, Adam heated so strongly that his ball is out of the table.",
"inference": "Adam's weakness is his serving strength.",
"modality": "vision"
},
{
"evidence": "At 1:54, he screamed.",
"inference": "He is angry with his serving strength.",
"modality": "audio"
}
] | His serving strength is too strong. | [
"A.His serving strength is too weak.",
"B.His serving strength is too strong.",
"C.His serving speed is too slow.",
"D.He can't serve accurately."
] | B | videos/video_251.mp4 | Others | 12:14 |
what was Ronnie going to practice today? | summarization | Speech | [
{
"evidence": "At 0:05, the man calls the woman 'Ronnie'.",
"inference": "Identify who is Ronnie.",
"modality": "vision"
},
{
"evidence": "At 0:40, the man says they have enough time to go that far.",
"inference": "They prepare to walk all the time.",
"modality": "audio"
},
{
"ev... | Legs | [
"A. Legs",
"B. Arms",
"C. Her endurance ",
"D. no"
] | A | videos/video_252.mp4 | Others | 12:40 |
What was the second thing Elliot did after meeting up with a group of friends and exchanging greetings? | temporal understanding | Speech | [
{
"evidence": "At 08:41, Elliot met up with a group of friends.",
"inference": "Pay attention to what they did.",
"modality": "vision"
},
{
"evidence": "At 08:51, Elliot said: 'It's a coffee shop, right?'",
"inference": "The first thing they did after meeting up was buying coffee.",
"mod... | Try the bag. | [
"A. Drink coffee",
"B. Try the bag.",
"C. appreciate the car",
"D. Try the eyeglasses"
] | B | videos/video_253.mp4 | Vlog | 12:31 |
After Manny heard Haren's evaluation of his school's library, what was the second location he went to afterward? | temporal understanding | Speech | [
{
"evidence": "At 0:12, a person said, 'I met with Haren. Got some coffee and she decides to give me a small campus tour.'",
"inference": "Set the point to check who is the female person Haren.",
"modality": "audio"
},
{
"evidence": "At 0:17, video shows that a lady is leading the way in the cam... | Gym | [
"A. Gym",
"B. Library",
"C. DIG",
"D.Restraurant"
] | A | videos/video_254.mp4 | Others | 12:40 |
When the two finished commenting on octopus and were tasting the second type of cuisine, how many people could be seen to their right? | counting | Speech | [
{
"evidence": "At 2:58, a person said, 'So the next thing we got is the baby octopus.'",
"inference": "They begin to taste the octopus.",
"modality": "audio"
},
{
"evidence": "At 4:17, it can been from the video that they have finished eating the octopus and folded the food-box back.",
"infe... | 2 | [
"A. 2",
"B. 3",
"C. 4",
"D. 5"
] | A | videos/video_255.mp4 | Others | 13:47 |
After the man and the woman discussed whether the turtle was caught by the eagle, how many people at the table had drunk wine? | counting | Speech | [
{
"evidence": "At 7:59, a turtle was in the scene.",
"inference": "It indicates that the man and the woman may discussed about the turtle at this moment.",
"modality": "vision"
},
{
"evidence": "At 8:00, the man said 'We used to have a pet turtle, too.'.",
"inference": "This is the moment me... | 3. | [
"A. 4.",
"B. 3.",
"C. 2.",
"D. 1."
] | B | videos/video_256.mp4 | Vlog | 14:56 |
About pizza'stopic, what color is the person holding the pizza in their right hand wearing? | fine-grained perception | Sound | [
{
"evidence": "At 5:56, PIZZA BY THE SLICE topic appears.",
"inference": "They will buy pizza.",
"modality": "audio"
},
{
"evidence": "At 6:16, they buy two pizzas in the store.",
"inference": "They hold the pizza on the hand.",
"modality": "vision"
},
{
"evidence": "At 6:17,the ... | Yellow | [
"A. Brown",
"B. White",
"C. Yello",
"D. Black"
] | A | videos/video_257.mp4 | Vlog | 11:14 |
What story does the main melody most likely portray? | sentiment analysis | Music | [
{
"evidence": "The sounds of orchestral instruments ring out in the background.",
"inference": "This could be a concerto performance.",
"modality": "audio"
},
{
"evidence": "The sounds of the two dizi stand out and are clearly audible in the background.",
"inference": "This is a concerto-lik... | Lovers' playful teasing | [
"A. A grasshopper teasing a rooster",
"B. Harvest festival dance",
"C. Lovers' playful teasing",
"D. Master teasing his apprentice in lesson"
] | C | videos/video_258.mp4 | Arts&TV Show | 11:53 |
In the opening, what distinctive device is used? | background&music understanding | Music | [
{
"evidence": "At 0:16, the music starts to play.",
"inference": "At 0:16, it is the opening of the performance.",
"modality": "audio"
},
{
"evidence": "At 0:21, only one violin is performing.",
"inference": "The solo violin states a theme from the starting of the music.",
"modality": "v... | The solo violin states a theme from the starting of the music | [
"A. The solo violin states a theme from the starting of the music",
"B. The two violins section presents the first theme in unison",
"C. The orchestra sets up an interesting motif from the second bar",
"D. The solo violin opens with a cadenzalike flourish"
] | A | videos/video_259.mp4 | Arts&TV Show | 13:54 |
what action is the second singer most likely to take next plot? | background&music understanding | Speech | [
{
"evidence": "the piece presents Peking opera material from the 'Empty City Stratagem'.",
"inference": "Identify genre and episode.",
"modality": "vision"
},
{
"evidence": "the first singer embodies Zhuge Liang.",
"inference": "get the point.",
"modality": "vision"
},
{
"evidenc... | Retreat and scared away by ZHAO Yun | [
"A. Launch an immediate assault on the city",
"B. Perform a new section of the opera",
"C. Call for reinforcements and establish a siege camp",
"D. Retreat and scared away by ZHAO Yun"
] | D | videos/video_260.mp4 | Arts&TV Show | 10:51 |
How does Variation IV show timbral contrast? | background&music understanding | Music | [
{
"evidence": "Locate Variation IV is around 05:50 in the performance timeline.",
"inference": "This is the time mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 5:50, repeated phrase groups reveal shifting color despite similar material.",
"inference": "Rotating silence... | Players take turns being silent | [
"A. Full-ensemble with different chords",
"B. All parts pizzicato throughout",
"C. Players take turns being silent",
"D. Various techniques under melody"
] | C | videos/video_261.mp4 | Arts&TV Show | 11:19 |
How many times do I serve before I change the bgm? | ego reasoning | Speech | [
{
"evidence": "at the beginning, the bgm starts.",
"inference": "Get the point they talked about.",
"modality": "audio"
},
{
"evidence": "at 0:04, I served tthe ball.",
"inference": "this is the first time.",
"modality": "vision"
},
{
"evidence": "at 1:22, I served tthe ball.",
... | 4. | [
"A. 2.",
"B. 3.",
"C. 4.",
"D. 5."
] | C | videos/video_262.mp4 | Ego | 11:07 |
What role did my mission support AI not play in this escape? | summarization | Speech | [
{
"evidence": "At 1:37, A robotic woman's voice introduced itself, saying 'Hello, my name is ANA.'",
"inference": "She is very likely to be my mission support AI.",
"modality": "audio"
},
{
"evidence": "At 1:39, ANA said 'I am the mission support AI.'.",
"inference": "This is the mission sup... | Provide advice on how to fight the enemy. | [
"A. Point out the enemy's direction and location.",
"B. Indicate an suitable escape route.",
"C. Lock the escape window.",
"D. Provide advice on how to fight the enemy."
] | D | videos/video_263.mp4 | Ego | 12:16 |
How many hot dog buns did the person who paid 26.15 get? | counting | Speech | [
{
"evidence": "At 7:01, a person said, 'It's 26.15 altogether.'",
"inference": "Check the vision to see if the number stands for the money amount.",
"modality": "audio"
},
{
"evidence": "At the same moment, we can see a man is using his phone to connect with the POS.",
"inference": "Confirm ... | 7 | [
"A. 3.",
"B. 4.",
"C. 6.",
"D. 7."
] | D | videos/video_264.mp4 | Ego | 14:54 |
After I say how are you, how many chicken cutlets are on the grill on the right and who did I say this to?? | ego reasoning | Speech | [
{
"evidence": "At 0:36, I said 'how are you'.",
"inference": "Get the point.",
"modality": "audio"
},
{
"evidence": "there are 7 chicken cutlets on the grill on the right.",
"inference": "7.",
"modality": "vision"
},
{
"evidence": "At 0:38, a woman said 'this'.",
"inference":... | 7,person in pink. | [
"A. 7,person in pink.",
"B. 7,person in black.",
"C. 14,person in pink.",
"D. 14,person in black."
] | A | videos/video_265.mp4 | Ego | 12:18 |
When I say 'oh my god', how many cars are in my field of vision?? | ego reasoning | Speech | [
{
"evidence": "At 2:48, a man's voice says' Oh my god'.",
"inference": "I say 'oh my god'.",
"modality": "audio"
},
{
"evidence": "At 2: 47, there is 1 car in front of this car, 2 cars in the opposite direction.",
"inference": "There are totally 3 cars in my field of vision",
"modality":... | 2. | [
"A. 1.",
"B. 2.",
"C. 3.",
"D. 4."
] | B | videos/video_266.mp4 | Ego | 10:14 |
How many hot dogs did I give to the person in gray? | ego reasoning | Speech | [
{
"evidence": "At 4:46, the man say make sure.",
"inference": "This is the time mentioned in the question.",
"modality": "audio"
},
{
"evidence": "The man asks the people in grey :'Two hotdogs and a doghouse right?'",
"inference": "He is reassuring the number.",
"modality": "audio"
},
... | 3 | [
"A. 1.",
"B. 2.",
"C. 3.",
"D. 4."
] | C | videos/video_267.mp4 | Ego | 14:16 |
How do I switch to manual transmission? | ego reasoning | Speech | [
{
"evidence": "The man says to check out the linkage at 2:27.",
"inference": "The man will switch the manual transmission.",
"modality": "audio"
},
{
"evidence": "At 2:28, the man checks out the linkage.",
"inference": "He moves the car link to the upper left to switch to manual transmission... | Move the car link to the upper left. | [
"A. Move the car link to the upper right.",
"B. Move the car link to the lower right.",
"C. Move the car link to the upper left.",
"D. Move the car link to the lower left."
] | C | videos/video_268.mp4 | Ego | 14:21 |
When I say 'obviously', what is the speed on the dashboard? | ego reasoning | Speech | [
{
"evidence": "At 1:22, the man said 'obviously'.",
"inference": "Get the point they talked about.",
"modality": "audio"
},
{
"evidence": "there a speed on the dashboard.",
"inference": "18.",
"modality": "vision"
}
] | 18. | [
"A. 18.",
"B. 19.",
"C. 20.",
"D. 21."
] | A | videos/video_269.mp4 | Ego | 12:44 |
When I say 'Woohoo', where am I? | ego reasoning | Speech | [
{
"evidence": "The video shows that at 6:12, the man sounds Woohoo.",
"inference": "This is the time mentioned in the question.",
"modality": "audio"
},
{
"evidence": "The video shows that at 6:27, the red car appeared.",
"inference": "The man says Woohoo before the rad car appeared.",
"... | Behind the red car. | [
"A. Before the red car.",
"B. Behind the red car.",
"C. On the left of the red car.",
"D. On the right of the red car."
] | B | videos/video_270.mp4 | Ego | 10:04 |
What do I mean by 'bomb'? | ego reasoning | Speech | [
{
"evidence": "I says ' There are bombs coming' at 0:22.",
"inference": "Something is come to me at this time.",
"modality": "audio"
},
{
"evidence": "There is a big wave in front of me at 0:25",
"inference": "The big wave is coming to me.",
"modality": "vision"
},
{
"evidence": ... | Big Wave. | [
"A. My companion.",
"B. Bomb-like cloud.",
"C. A real bomb.",
"D. Big Wave."
] | D | videos/video_271.mp4 | Ego | 13:23 |
When I say 'the wave was so long', how do the seagulls behind me fly in ? | ego reasoning | Speech | [
{
"evidence": "At 2:36, I say 'the wave was so long'.",
"inference": "This is the time mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 2:37, the seagulls behind me fly in from right to left.",
"inference": "The seagulls fly in from right to left.",
"modality": "visi... | From right to left. | [
"A. From left to right.",
"B. From right to left.",
"C. From top to bottom.",
"D. From bottom to top."
] | B | videos/video_272.mp4 | Vlog | 11:40 |
What am I doing when the background music plays? | ego reasoning | Music | [
{
"evidence": "At 0:28, the music plays.",
"inference": "This is the time mentioned in the question.",
"modality": "audio"
},
{
"evidence": "The man walks petting to the cat on the floor.",
"inference": "The man is petting the cat.",
"modality": "vision"
}
] | Grinding coffee. | [
"A. Closing the car door.",
"B. Putting down the book",
"C. Petting a cat.",
"D. Grinding coffee."
] | D | videos/video_273.mp4 | Ego | 14:57 |
When hearing the opera singing from the earphones, what did I run past? | ego reasoning | Sound | [
{
"evidence": "At 6:18, the opera began to sing.",
"inference": "I heard the opera singing from the earphones.",
"modality": "audio"
},
{
"evidence": "At 6:20, the opera was still singing.",
"inference": "I was hearing the opera singing from the earphones.",
"modality": "audio"
},
{
... | The bus stop. | [
"A. The vendor's cart.",
"B. The bus stop.",
"C. The subway station.",
"D. The traffic light."
] | B | videos/video_274.mp4 | Ego | 13:52 |
When hearing 'Do you know about the pig butchering scam?', what slogan can we see on the sign held by the female police officer? | fine-grained perception | Speech | [
{
"evidence": "At 1:01, the line 'Do you know about the pig butchering scam?' is heard.",
"inference": "The speaker mentions the 'pig butchering' scam.",
"modality": "audio"
},
{
"evidence": "At 1:01, the female police officer holds a slogan that is green.",
"inference": "The color is green.... | Green. | [
"A. Green.",
"B. Pink.",
"C. Grey.",
"D. White."
] | A | videos/video_275.mp4 | Ego | 13:34 |
When the numbers were being continuously announced, what operation was I performing? | ego reasoning | Speech | [
{
"evidence": "The number ' fifty' can be heard at 11:35.",
"inference": "Numbers are being announced continuously.",
"modality": "audio"
},
{
"evidence": "The screen shows an airplane runway at the same time.",
"inference": "The plane is flying up the runway.",
"modality": "vision"
},... | Landing. | [
"A. Taking off.",
"B. Landing.",
"C. Climbing.",
"D. Flipping."
] | B | videos/video_276.mp4 | Ego | 14:53 |
When I say 'I may not select all of you', how many items do I have in my second inventory? | ego reasoning | Speech | [
{
"evidence": "At 8:16, a woman's voice says' I may not select all of you.'",
"inference": "locate when the woman says 'I may not select all of you.'",
"modality": "audio"
},
{
"evidence": "At 8: 16, there are 6 carrots in the second inventory .",
"inference": "6 items I have in my second in... | 6. | [
"A. 16.",
"B. 6.",
"C. 10.",
"D. 4."
] | B | videos/video_277.mp4 | Others | 11:15 |
Why did I say fuck? | ego reasoning | Speech | [
{
"evidence": "All the road s are wet at 0:23.",
"inference": "It is raining outside.",
"modality": "vision"
},
{
"evidence": "I sighs deeply at 0:24.",
"inference": "I hate rainy days.",
"modality": "audio"
},
{
"evidence": "Then I say 'Fuck' at 0:25.",
"inference": "I say f... | It's raining outside. | [
"A. It's raining outside.",
"B. My car is dirty.",
"C. I forgot to take something.",
"D. I'm almost late for school."
] | A | videos/video_278.mp4 | Ego | 11:16 |
When I say hello, what color clothes is the person on the far right of my field of vision wearing? | ego reasoning | Speech | [
{
"evidence": "At 0:14, the man says hello.",
"inference": "It is the time mentioned in the question.",
"modality": "audio"
},
{
"evidence": "The person on the far right of the field is in red at 0:14.",
"inference": "The person is in red.",
"modality": "vision"
}
] | Yellow. | [
"A. Yellow.",
"B. Red.",
"C. Black.",
"D. White."
] | A | videos/video_279.mp4 | Ego | 14:16 |
In which city does the video creator reside? | summarization | Speech | [
{
"evidence": "The video is presented in a first-person perspective.",
"inference": "Therefore, the video creator is the person who is speaking.",
"modality": "vision"
},
{
"evidence": "At 9:00, the man says :'I live in Vancouver.'",
"inference": "The man resides in Vancouver.",
"modalit... | Vancouver. | [
"A. Vancouver.",
"B. New York.",
"C. Seattle.",
"D. San Francisco."
] | A | videos/video_280.mp4 | Ego | 14:50 |
Why is it necessary to build a waterproof shed? | causal reasoning | Speech | [
{
"evidence": "From the beginning, the blogger says that they're going to make shift a massive shade back up.",
"inference": "They will and they need to build a shed.",
"modality": "audio"
},
{
"evidence": "From timestamp 11:24, a shed tent has been shade up.",
"inference": "they've shade up... | To prevent weeds from growing in the bags. | [
"A. To prevent rainwater from wetting the material.",
"B. To prevent workers from getting sunburned.",
"C. To prevent weeds from growing in the bags.",
"D. To prevent damage caused by storms."
] | C | videos/video_281.mp4 | Ego | 14:33 |
Why is the video creator advised to walk around the parking lot a few times before parking? | causal reasoning | Speech | [
{
"evidence": "The video is presented in a first-person perspective.",
"inference": "Therefore, the video creator is the person who is speaking.",
"modality": "vision"
},
{
"evidence": "At 1:19, the man says :'And the first thing you would like to do is to basically go around the parking lot. '"... | To find a suitable parking space. | [
"A. To find a suitable parking space.",
"B. To find the way to the exit.",
"C. To observe the parking habits of other drivers.",
"D. To anticipate possible scenarios."
] | A | videos/video_282.mp4 | Ego | 10:42 |
While the woman was introducing the various products, she mentioned which one she already had at home? | fine-grained perception | Speech | [
{
"evidence": "The video shows a potted plant at 14:36.",
"inference": "The woman will talk about plants next.",
"modality": "vision"
},
{
"evidence": "The woman says :'I have this one in my house.' at 14:59.",
"inference": "The woman already had a plant in the house.",
"modality": "audi... | Plant with large and small trees. | [
"A. Ladder for installing a fan",
"B. Hammer for sawing wood",
"C. Microwave with more power",
"D. Plant with large and small trees"
] | D | videos/video_283.mp4 | Vlog | 17:01 |
When the fitness trainer mentions, 'You don't want to tell me Derek is 45 years old and he lost an amazing amount of weight with T 25,' what time is displayed? | fine-grained perception | Speech | [
{
"evidence": "A man's photo is showed at 0:13.",
"inference": "This man is the fitness trainer.",
"modality": "vision"
},
{
"evidence": "The fitness trainer mentions Derek lost amazing amount of weight with T 25 at 10:00.",
"inference": "Find the time shows up in the lower left corner",
... | 09:32. | [
"A. 09:32.",
"B. 13:43.",
"C. 06:23.",
"D. 03:18."
] | A | videos/video_284.mp4 | Vlog | 29:31 |
When the commentator shouted that it was an own goal, what made him think that the goal was an own goal? | causal reasoning | Speech | [
{
"evidence": "A played wear in red attacks with the ball at 3:50",
"inference": "The red team is attacking.",
"modality": "vision"
},
{
"evidence": "The black goalkeeper grabbing the ball at 3:57.",
"inference": "The ball shouldn't get in.",
"modality": "vision"
},
{
"evidence":... | Even though the black goalkeeper held the ball, the ball hit his face and went in. | [
"A. Because the black player kicked the ball into their own goal.",
"B. Because the red player kicked the ball into their own goal.",
"C. Even though the red goalkeeper held the ball, the ball hit his face and went in.",
"D. Even though the black goalkeeper held the ball, the ball hit his face and went in."
] | D | videos/video_285.mp4 | Sports | 22:05 |
What was the boss's true attitude towards drugs before and after the news of urine test? | sentiment analysis | Speech | [
{
"evidence": "At timestamp 0:03,the boss said,'you gotta take a chill pill,man. It was one joint in the parking lot.'",
"inference": "The boss think that one joint is an usual thing.",
"modality": "audio"
},
{
"evidence": "The boss stood there with his hands in his pockets.",
"inference": "... | cool,disgusting | [
"A. cool,cool",
"B. cool,disgusting",
"C. disgusting,cool",
"D. disgusting,disgusting"
] | B | videos/video_286.mp4 | Arts&TV Show | 15:13 |
When the lady in the video mentioned the clothing brand Tree of Life, how many pieces of clothing appeared behind her? | counting | Speech | [
{
"evidence": "At 6:34, a woman 's voice said, 'So all of these items are from the brand Tree of Life.'",
"inference": "Tree of Life is mentioned.",
"modality": "audio"
},
{
"evidence": "At the same time, a yellow subtitle showed: Tree of Life and several clothing are behind a woman.",
"infe... | 4 | [
"A. 3",
"B. 2",
"C. 5",
"D. 4"
] | D | videos/video_287.mp4 | Vlog | 15:25 |
When the woman talks about candy pink, how many photos of models showed in the video? | counting | Speech | [
{
"evidence": "From timestamp 7:23, the woman says,'let's talk about candy pink'.",
"inference": "later part is the topic about candy pink.",
"modality": "audio"
},
{
"evidence": "At timestamp 7:23,a photo of models showed in the video.",
"inference": "this is the first one.",
"modality"... | 15 | [
"A.14",
"B.15",
"C.16",
"D.17"
] | B | videos/video_288.mp4 | Vlog | 17:12 |
How many points did Li Jingxin win in the second set? | counting | Speech | [
{
"evidence": "At 0:10, The narrator introduced, 'Li Jingxin is a member of our...'",
"inference": "At this point, the screen would most likely show Li Jingxin.",
"modality": "audio"
},
{
"evidence": "At 0:12, a male player wore blue sport shirt was in the screen.",
"inference": "He is Li Ji... | 2 | [
"A.2",
"B.5",
"C.6",
"D.11"
] | A | videos/video_289.mp4 | Sports | 16:16 |
Which player has the most fans at the match? | attribute comparison | Speech | [
{
"evidence": "many spectators held up signs with 'Sun Yingsha' on them.",
"inference": "they were Sun's fans.",
"modality": "vision"
},
{
"evidence": "At 01:15, several people in the audience kept shouting, 'Sun Yingsha, come on!'",
"inference": "Sun has many fans.",
"modality": "audio"... | Sun | [
"A.Wang",
"B.Sun",
"C.RYU",
"D.KIM"
] | B | videos/video_290.mp4 | Sports | 16:56 |
How many points did Mima Ito win in total in the first two sets? | counting | Sound | [
{
"evidence": "At 0:03, the male commentator mentions Mima Ito.",
"inference": "This identifies Mima Ito by name.",
"modality": "audio"
},
{
"evidence": "At 0:02, observing the player's uniform and the infomation on the lower left corner of the video, we can know that his player is Mima Ito from... | 15 | [
"A.6",
"B.9",
"C.12",
"D.15"
] | D | videos/video_291.mp4 | Sports | 19:50 |
After the score of 9-6 between Chen L. and Shi Y.Q., which player served the next ball from the left or right side? | temporal understanding | Sound | [
{
"evidence": "At 0:10, Shi Y.Q. is mentioned in the audio",
"inference": "This identifies Shi Y.Q. , and the other is Chen L..",
"modality": "audio"
},
{
"evidence": "At 07:12, the score was 9-6",
"inference": "Pay attention to the next ball.",
"modality": "vision"
},
{
"evidenc... | Chen L.,Left | [
"A.Chen L.,Left",
"B.Chen L.,Right",
"C.Shi Y.Q.,Left",
"D.Shi Y.Q.,Right"
] | A | videos/video_292.mp4 | Sports | 19:25 |
In the video, how many of the races commented on by the female commentator featured a red track? | counting | Speech | [
{
"evidence": "in this audio, only three of the races commented on by the female commentator.",
"inference": "get the 3 races.",
"modality": "audio"
},
{
"evidence": "only one of the races commented on by the female commentator featured a red track.",
"inference": "1.",
"modality": "visi... | 1 | [
"A.1",
"B.2",
"C.3",
"D.4"
] | A | videos/video_293.mp4 | Sports | 16:22 |
Why the janitor scold the man? | causal reasoning | Speech | [
{
"evidence": "At 1:43, a man said ' you are a bad person '.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "the man puts some paper in this toilet.",
"inference": "get the janitor.",
"modality": "vision"
},
{
"evidence": "the man enters into time trave... | Because he is the man in the future. | [
"A.Because he is the man in the future.",
"B.Because he is angry about the man's selfish.",
"C.Because he is the man in the past.",
"D.Because he wants to remind the man to be polite."
] | A | videos/video_294.mp4 | Arts&TV Show | 19:55 |
What is the second amusement ride did they go on after the little girl excitedly said she wanted to play again? | temporal understanding | Speech | [
{
"evidence": "At timestamp 7:19, the little girl said she wanted to play again.",
"inference": "the answer will come out from the later clip.",
"modality": "audio"
},
{
"evidence": "At timestamp 8:48, the screen showed 'off to the next adventure'.",
"inference": "They'd have more amusement ... | pull the sword out of the stone | [
"A. roller coaster",
"B. the Jungle Cruise",
"C. pull the sword out of the stone.",
"D. Visit the theme room"
] | C | videos/video_295.mp4 | Vlog | 15:13 |
What cultural ritual does the opening percussion appear to draw from? | background&music understanding | Music | [
{
"evidence": "At 00:01, it said, 'WINTER SOLSTICE: BLESSING AND LONGEVITY' in the picture.",
"inference": "the music is about winter solstice, blessing and longevity.",
"modality": "vision"
},
{
"evidence": "the opening percussion is dominated by a low, steady frame-drum pulse with chant-like a... | Shamanic blessing ritual | [
"A. Daoist temple procession",
"B. Shamanic blessing ritual",
"C. Parade after passing the imperial examination",
"D. Court wedding ceremony"
] | B | videos/video_296.mp4 | Arts&TV Show | 16:30 |
What is the special instrument at the opening? | background&music understanding | Music | [
{
"evidence": "Hear a whooshing, wind-like pitch that rises/falls smoothly.",
"inference": "The sound may produced by a tube.",
"modality": "audio"
},
{
"evidence": "See a performer swinging a flexible tube-like object in a circle.",
"inference": "The instrument is a whirly tube.",
"moda... | Whirly tube | [
"A. Whirly tube",
"B. Pipe organ",
"C. Sona",
"D. Theremin"
] | A | videos/video_297.mp4 | Arts&TV Show | 19:27 |
When I say 'Green veggie doesn't have deal anymore', how many pieces of sushi are on the table? | ego reasoning | Speech | [
{
"evidence": "At timestamp 2:26, the blogger says,'Green veggie doesn't deal anymore'.",
"inference": "Here is the time point.",
"modality": "audio"
},
{
"evidence": "There are three pieces of sushi on the table.",
"inference": "The answer is 3.",
"modality": "vision"
}
] | 3 | [
"A. 2.",
"B. 3.",
"C. 4.",
"D. 1."
] | B | videos/video_298.mp4 | Ego | 15:13 |
What state was I in when the machine's sound rang out for the third time? | ego reasoning | Sound | [
{
"evidence": "At 0:30, the machine makes its first sound.",
"inference": "This is the first sound.",
"modality": "audio"
},
{
"evidence": "At 0:30, I was holding sauce in my hand.",
"inference": "I was holding sauce.",
"modality": "vision"
},
{
"evidence": "At 0:51, the machine ... | Place shrimps on the sushi. | [
"A.Holding sauce in hand.",
"B.Pressing the sushi.",
"C.Place shrimps on the sushi.",
"D.Put shredded cucumbers on the sushi."
] | C | videos/video_298.mp4 | Ego | 15:13 |
When I took out the rice and the machine rang, how many different types of sushi had I already made? | ego reasoning | Sound | [
{
"evidence": "At 5:13, I am taking out the rice.",
"inference": "I am getting rice.",
"modality": "vision"
},
{
"evidence": "At 5:13, the machine makes a sound.",
"inference": "The machine rang at the same time.",
"modality": "audio"
},
{
"evidence": "After 5:13, there are three... | 3. | [
"A.0.",
"B.1.",
"C.2.",
"D.3."
] | D | videos/video_298.mp4 | Ego | 15:13 |
Why did I fail to catch the ball at the beginning? | ego reasoning | Speech | [
{
"evidence": "At the timestamp 0:26, the blogger hits the ball towards the wrong position.",
"inference": "He fails to catch the ball at the beginning.",
"modality": "vision"
},
{
"evidence": "He says 'I was tripping on my legs.'",
"inference": "The blogger fails to catch the ball at the be... | I was tripping on my legs. | [
"A. The ball is too fast.",
"B. I was tripping on my legs.",
"C. My hand caught the ball crookedly.",
"D. I caught the ball too quickly."
] | B | videos/video_299.mp4 | Ego | 16:24 |
Why do I say 'it's sick'? | ego reasoning | Speech | [
{
"evidence": "At 3:40,the man said 'it's sick'.",
"inference": "get the point.",
"modality": "audio"
},
{
"evidence": "the place is showed as deserted and run-down.",
"inference": "This place is deserted and run-down.",
"modality": "vision"
}
] | This place is deserted and run-down. | [
"A. This place is deserted and run-down.",
"B. There is a lot of garbage on the ground.",
"C. We don't want to parkour here.",
"D. We can't complete this mission."
] | A | videos/video_300.mp4 | Ego | 16:59 |
When the music started, which number didn't appear in my sight? | background&music understanding | Music | [
{
"evidence": "At 0:55, the music plays.",
"inference": "This is the time mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 0:55, number 7 appear in the screen.",
"inference": "Number 11 didn't appear.",
"modality": "vision"
},
{
"evidence": "At 0:55, number 8... | 11 | [
"A. 5.",
"B. 8.",
"C. 9.",
"D. 11."
] | D | videos/video_301.mp4 | Ego | 18:00 |
How many glasses of water did I drink before I said 'This comes as a shake'? | ego reasoning | Speech | [
{
"evidence": "At 03:23, the man said to the shop assistant, 'Can I have a cup of water?'",
"inference": "the man wanted have a cup of water.",
"modality": "audio"
},
{
"evidence": "At 03:41, the man said, 'that's the smallest cup ever seen'",
"inference": "the cup was very small.",
"mod... | 2. | [
"A. 0.",
"B. 1.",
"C. 2.",
"D. 3."
] | C | videos/video_302.mp4 | Ego | 17:46 |
Which row of the menu is the couple I ordered from the top?? | ego reasoning | Speech | [
{
"evidence": "At 01:04, the man said, 'let's do number seven breakfast baconator. Couple, why not. Coffee. Medium.'",
"inference": "the man ordered number seven breakfast baconator, couple.",
"modality": "audio"
},
{
"evidence": "At 01:39, the man confirmed the couple he ordered with the shop a... | Third row. | [
"A. First row.",
"B. Second row.",
"C. Third row.",
"D. Fourth row."
] | C | videos/video_303.mp4 | Vlog | 16:19 |
What am I doing when I hear a mother talking to her child? | ego reasoning | Speech | [
{
"evidence": "From timestamp 0:35, a mother and her children are talking about whether to go or not.",
"inference": "the blogger may hear when they are talking.",
"modality": "audio"
},
{
"evidence": "at that time, the blogger is ordering.",
"inference": "He is ordering when he hears a moth... | Odering | [
"A. Odering.",
"B. Walking.",
"C. Eating.",
"D. Drinking."
] | A | videos/video_304.mp4 | Ego | 15:19 |
When 'No, nada, aquí andamos.' is said, what ingredient is being handled? | fine-grained perception | Speech | [
{
"evidence": "At 0:29, the phrase 'No, nada, aquí andamos.' is mentioned.",
"inference": "This marks the time referenced by the question.",
"modality": "audio"
},
{
"evidence": "At 0:30, the chef is chopping a bell pepper.",
"inference": "The ingredient being handled is bell pepper.",
"... | Bell pepper | [
"A. Bell pepper",
"B. Onion",
"C. Asparagus",
"D. Egg"
] | A | videos/video_305.mp4 | Ego | 18:13 |
What might be my favorite sport? | sentiment analysis | Speech | [
{
"evidence": "At 3:00, the narrator said, 'This way is to the sports station.'",
"inference": "What's introduced next could be 'my favorite sport.'",
"modality": "audio"
},
{
"evidence": "At 03:10, the narrator explicitly said, 'And there is my favorite boxing bag.'",
"inference": "So boxin... | Boxing. | [
"A. Running",
"B. Yoga.",
"C. Swimming.",
"D. Boxing."
] | D | videos/video_306.mp4 | Others | 15:41 |
The broadcast begins by a specific island. What is the weather condition over that same island several days later? | fine-grained perception | Speech | [
{
"evidence": "At 0:11, the host says 'the island of Puerto Rico is seeing heavy rain...'.",
"inference": "The island of Puerto Rico is the island mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 0:11, the hurricane marked in red is currently covering this island.",
"inf... | The area is clear, with no rain bands shown over it. | [
"A. It is being directly hit by the eye of the hurricane.",
"B. The area is clear, with no rain bands shown over it.",
"C. It is experiencing even heavier rain than before.",
"D. A new, different storm system is approaching it from the east."
] | B | videos/video_307.mp4 | News | 01:52 |
Considering the commentator's remarks and the on-field action, what sequence of events involving two different players' shots led to Liverpool's first goal? | causal reasoning | Speech | [
{
"evidence": "At 0:38, Liverpool's first goal was happened.",
"inference": "This indicates that before this point, it should be players that had facilitated this first goal of Liverpool.",
"modality": "vision"
},
{
"evidence": "At 0:33, the commentator says, 'That's a good ball by Szoboszlai.'.... | A shot by Ekitike was saved by the goalkeeper, and Salah scored from the rebound. | [
"A. A shot by Ekitike was saved by the goalkeeper, and Salah scored from the rebound.",
"B. A shot by Wirtz hit the post, and Salah scored from the rebound.",
"C. Szoboszlai took a long-range shot that was saved, and Salah scored the follow-up.",
"D. Gakpo passed the ball directly to Salah who scored immediat... | A | videos/video_308.mp4 | Sports | 02:49 |
When the commentator talks about 'a long-term peace agreement', the two leaders perform a symbolic action. How many times in total do they perform this action throughout the entire video? | counting | Speech | [
{
"evidence": "At 0:53, a narrator says 'a long-term peace agreement'.",
"inference": "This is the moment that mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 0:53, the two leaders make a shakehand.",
"inference": "This is the symbolic action that two leaders perform, m... | 3 | [
"A. 3",
"B. 4",
"C. 6",
"D. 7"
] | A | videos/video_309.mp4 | Sports | 02:50 |
A victim in the report describes his initial misperception of the attack. What was this misperception? | reference reasoning | Speech | [
{
"evidence": "At 0:45, the victim says 'I thought I was being punched...'.",
"inference": "The misperception is that 'He thought it was a punch'.",
"modality": "audio"
},
{
"evidence": "At 0:10, the host says 'it was just the start of last month's stabbing spree...'.",
"inference": "This in... | He thought it was a punch; the reality is shown in the opening surveillance footage of the first attack, where the attacker was wearing a dark hat. | [
"A. He thought it was a punch; the reality is shown in the opening surveillance footage of the first attack, where the attacker initially stabbed the first victim face-to-face.",
"B. He thought it was a punch; the reality is shown in the surveillance footage where the attacker runs towards and jabs the man in the... | D | videos/video_310.mp4 | News | 01:47 |
After the narrator says, 'He doesn't blame the technology', how many distinct shots of fingers typing on a physical keyboard appear? | counting | Speech | [
{
"evidence": "At 1:16, the narrator says 'He doesn't blame the technology'.",
"inference": "This is the moment mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 1:18, a distinct shot of fingers typing on a physical keyboard appear.",
"inference": "This is the first shot.... | 2 | [
"A. 5",
"B. 3",
"C. 2",
"D. 4"
] | C | videos/video_311.mp4 | News | 02:42 |
What action by the driver immediately led to the agent breaking the car window? | causal reasoning | Speech | [
{
"evidence": "At 0:09, an agent appears in the video from a driver's point of view.",
"inference": "To check what does he say.",
"modality": "vision"
},
{
"evidence": "At 0:09, the agent make the command: 'Roll down the window!'",
"inference": "To check what's the driver's response to this.... | He verbally refused to follow the agent's command. | [
"A. He attempted to drive the vehicle away from the scene.",
"B. He verbally refused to follow the agent's command.",
"C. He failed to respond in any way to the agent's command.",
"D. He challenged the agent's authority to give the command."
] | B | videos/video_312.mp4 | News | 01:17 |
How does the lawyer illustrate the 'two-tier justice' system? | reference reasoning | Speech | [
{
"evidence": "At 0:09, the news subtitle shows: Woman sexually assaulted on flight fights for compensation.",
"inference": "This video is probably about this inccident.",
"modality": "vision"
},
{
"evidence": "At 0:37 shows a Qatar Airways plane.",
"inference": "identify the airline involv... | By comparing the legal options on the flight it happened on versus a different national airline. | [
"A. By comparing the application of law in domestic versus international airspace.",
"B. By comparing the legal options on the flight it happened on versus a different national airline.",
"C. By comparing the airline's stated passenger safety policy with its actual actions.",
"D. By comparing the legal rights... | B | videos/video_313.mp4 | News | 02:49 |
After it was mentioned that there were 52 people on the vehicle, who appeared in the frame? | fine-grained perception | Speech | [
{
"evidence": "At 0:36, the host mentions: '52 people on board'.",
"inference": "To check the vision to observe who's in the frame.",
"modality": "audio"
},
{
"evidence": "At 0:39, we can see 3 people appear in a place a bit far from the camera.",
"inference": "To observe closely at their cl... | Two people in dark clothes and one person in light clothes. | [
"A. A person in dark clothes and one person in light clothes.",
"B. Three people in dark clothes and one person in light clothes.",
"C. Three people in dark clothes and two people in light clothes.",
"D. Two people in dark clothes and one person in light clothes."
] | D | videos/video_314.mp4 | News | 01:21 |
What is the attitude of the person who turned to the side for the interview? | sentiment analysis | Speech | [
{
"evidence": "At 1:50, a man in hood and wearing a hat is turning to the side for the interview.",
"inference": "To observe his tone and words next.",
"modality": "vision"
},
{
"evidence": "At 1:51, the man says calmly: I'm just glad we're okay.",
"inference": "He feels relieved about thing... | Relief and dissatisfaction with the agents' behavior. | [
"A. Relief and dissatisfaction with the agents' behavior.",
"B. Intense anger and a desire for retaliation.",
"C. Visible fear and anxiety about the consequences.",
"D. Indifference and a lack of concern for the situation."
] | A | videos/video_315.mp4 | News | 02:08 |
After the female voice is heard for the first time, how many people exit through the door? | counting | Speech | [
{
"evidence": "The woman said 'There was an earthquake!Run!Run!' at approximately the 0:26 mark",
"inference": "The movements of all individuals must be tracked relative to the doorway to the back corridor after the 0:26 mark.",
"modality": "audio"
},
{
"evidence": "After 0:26, the older son run... | 2 | [
"A. 4",
"B. 2",
"C. 5",
"D. 1"
] | B | videos/video_316.mp4 | Vlog | 01:11 |
At the moment the car horn sounds, what is the man in the yellow shirt doing? | fine-grained perception | Sound | [
{
"evidence": "At 0:05, a loud and continuous car horn sounds can be heard.",
"inference": "To check the vision to see who's the yellow shirt man.",
"modality": "audio"
},
{
"evidence": "At the same moment, a man in the yellow shirt is located in the foreground.",
"inference": "To observe wh... | Standing | [
"A. Standing",
"B. Running",
"C. Shouting",
"D. Crouching"
] | A | videos/video_317.mp4 | Others | 00:12 |
When the car horn sounds, how many people are running in the frame? | counting | Sound | [
{
"evidence": "A clear car horn sounds at approximately the 0:05 mark",
"inference": "locate the timestamp to count people",
"modality": "audio"
},
{
"evidence": "one man ran out of the frame to the left side in 0:07",
"inference": "1 person is counted",
"modality": "vision"
},
{
... | 5 | [
"A. 2",
"B. 3",
"C. 4",
"D. 5"
] | D | videos/video_318.mp4 | Vlog | 00:14 |
What is the man's expression and posture the second time he asks the AI for advice? | sentiment analysis | Speech | [
{
"evidence": "the man speaks to the AI that 'my coworker just knocked my door, what should I do' for the first time in 0:01",
"inference": "the second time after this moment should be noticed",
"modality": "audio"
},
{
"evidence": "the man speaks to the AI for the second time after his colleagu... | He appears nervous. | [
"A. He appears nervous.",
"B. He shows obvious annoyance and impatience towards his colleague.",
"C. He looks very confident.",
"D. He looks distracted."
] | A | videos/video_319.mp4 | Others | 00:40 |
What is the female judge's expression at the moment the off-screen host shows up for the second time | sentiment analysis | Speech | [
{
"evidence": "the host's off-screen voice asks 'How did he sneak on?' at approximately 0:08.",
"inference": "locate the timestamp that the off-screen host shows up for the first time",
"modality": "audio"
},
{
"evidence": "the host shows up at 1:48 for the second time.",
"inference": "obser... | Disbelief mixed with pleasure. | [
"A. Shock mixed with disquiet.",
"B. Deep admiration tinged with obvious confusion.",
"C. Disbelief mixed with pleasure.",
"D. Curious scrutiny with a hint of skepticism."
] | C | videos/video_320.mp4 | Arts&TV Show | 03:12 |
How many times does the male anchor shows up after the introductory music ends? | counting | Music | [
{
"evidence": "the end of the intro music at 0:02",
"inference": "the appearance of male anchor should be noticed",
"modality": "audio"
},
{
"evidence": "the male anchor shows up in 0:06 for once",
"inference": "the answer is 1",
"modality": "vision"
}
] | 1 | [
"A. 0",
"B. 3",
"C. 5",
"D. 1"
] | D | videos/video_321.mp4 | News | 01:59 |
The visual of the bulldozer is used to emphasize the winery owner's primary concern. What is that concern? | reference reasoning | Speech | [
{
"evidence": "At 1:37, the winery owner's states : 'We lost two villages in 2018 and 2020, the smoke.'",
"inference": "This establishes his primary concern is not fire, but smoke.",
"modality": "audio"
},
{
"evidence": "At 1:42, the narrator says: He's being preparing to fight the flames.",
... | Preventing crop loss from smoke damage. | [
"A. Preventing direct fire damage to the vines.",
"B. Ensuring access for emergency vehicles.",
"C. Preventing crop loss from smoke damage.",
"D. Clearing land for a future expansion."
] | C | videos/video_322.mp4 | News | 02:05 |
At the exact moment the commentator introduces the male, what is the female's physical reaction? | fine-grained perception | Speech | [
{
"evidence": "a voiceover speaking in 1:23",
"inference": "he is the commentator",
"modality": "audio"
},
{
"evidence": "the commentator's excited shout of 'Touchdown Kelce!' at 1:22.",
"inference": "locate the moment female do physical reaction",
"modality": "audio"
},
{
"evide... | Raising arms. | [
"A. Clapping politely while seated.",
"B. Covering her face in nervous anticipation.",
"C. Hugging the person next to her.",
"D. Raising arms."
] | D | videos/video_323.mp4 | Others | 03:30 |
During the skydive, who is the second person the videographer grabs? | spatial understanding | Speech | [
{
"evidence": "At 0:16, the freefall begins with a loud, constant wind noise.",
"inference": "To observe who did I grab first.",
"modality": "audio"
},
{
"evidence": "At 0:46 , 'I' grab A skydiver wearing a red and yellow jumpsuit and a blue helmet。",
"inference": "This is the first person '... | He did not grab the second person | [
"A. A skydiver wearing a red and yellow jumpsuit and a blue helmet.",
"B. A skydiver wearing a flame-patterned jumpsuit and a gray helmet.",
"C. A skydiver wearing a bright green jumpsuit and a black helmet.",
"D.He did not grab the second person"
] | D | videos/video_324.mp4 | Others | 02:02 |
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